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ML for Cybersecurity (MLC)
Module 1. Introduction to Machine Learning and Cybersecurity
Lecture_1_Español

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Lecture_1_Español

application/pdf Unit_1_Machine_Learning_Cybersecurity_Español.docx.pdf — 403.6 KB

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ML for Cybersecurity (MLC)

First Semester

Fundamentals of AI

Machine Learning

Non-relational Database Systems

Cloud Computing and Distributed Systems

Neural Networks

Ethical Hacking

System Development Life Cycle: Cont. D & I

Malware Analysis

Sequences and Recurrent Networks

Second Semester

Advanced Deep Learning Modes

Wireless System Security

Cyber-physical Systems

IoT Connectivity

Advanced Cryptography

System Development Life Cycle: An. & Des.

Network Security Monitoring

Introduction to High Performance Computing

Natural Language Processing

Optimization for ML

System Security

Probabilistic Methods

Ethical, Legal and Human aspects of AI & CS

AI in Healthcare

Digital Forensics

Third Semester

ML for Cybersecurity

Network Solutions for IoT

Advanced Relational Database Systems

Database Security

Digital Entrepreneurship and Innovation Management

Front End Frameworks

Network Security

IoT Sensor Systems

Cybersecurity of Ind. Control Systems

Master Thesis

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